Fetching the paper…
Reading the bibliography…
Recently, heterogeneous Graph Neural Networks (GNNs) have become a de facto model for analyzing HGs, while most of them rely on a relative large number of labeled data.
The PageRank Citation Ranking: Bringing Order to the Web
Lawrence Page, Sergey Brin, Rajeev Motwani, and Terry Winograd. 1999 · 1999
Earlier work this paper cites.
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi, Chaitanya K. Joshi, Thomas Laurent, Yoshua Bengio, and Xavier Bresson. 2020 · 2003
Earlier work this paper cites.
Scaling Personalized Web Search. In WWW
Glen Jeh and Jennifer Widom. 2003 · 2003
Earlier work this paper cites.
Are All Negatives Created Equal in Contrastive Instance Discrimination?
Tiffany Tianhui Cai, Jonathan Frankle, David J Schwab, and Ari S Morcos. 2020 · 2010
Earlier work this paper cites.
Exploring Simple Siamese Representation Learning
Xinlei Chen and Kaiming He. 2020 · 2011
Earlier work this paper cites.
Co-author Relationship Prediction in Heterogeneous Bibliographic Networks. In ASONAM . 121–128
Yizhou Sun, Rick Barber, Manish Gupta, Charu C. Aggarwal, and Jiawei Han. 2011 · 2011
Earlier work this paper cites.
DeepWalk: Online Learning of Social Representations. In KDD . 701–710
Bryan Perozzi, Rami Al-Rfou, and Steven Skiena. 2014 · 2014
Earlier work this paper cites.
FaceNet: A Unified Embedding for Face Recognition and Clustering. In CVPR . 815–823
Florian Schroff, Dmitry Kalenichenko, and James Philbin. 2015 · 2015
Earlier work this paper cites.
Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks
Jingbo Shang, Meng Qu, Jialu Liu, Lance M Kaplan, Jiawei Han, and Jian Peng. 2016 · 2016
Earlier work this paper cites.
Semi-Supervised Classification with Graph Convolutional Networks. In ICLR
Thomas N. Kipf and Max Welling. 2017 · 2017
Cited alongside, same era.
Representation Learning with Contrastive Predictive Coding
Aäron van den Oord, Yazhe Li, and Oriol Vinyals. 2018 · 2018
Cited alongside, same era.
Graph Attention Networks. In ICLR
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio. 2018 · 2018
Cited alongside, same era.
Heterogeneous Information Network Embedding for Recommendation
Chuan Shi, Binbin Hu, Wayne Xin Zhao, and Philip S. Yu. 2019 · 2019
Cited alongside, same era.
Deep Graph Infomax. In ICLR
Petar Veličković, William Fedus, William L. Hamilton, Pietro Liò, Yoshua Bengio, and R. Devon Hjelm. 2019 · 2019
Cited alongside, same era.
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. In NeurIPS
Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning. In NeurIPS
Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre H. Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan Daniel Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, Rémi Munos, and Michal Valko. 2020 · 2020
Later among the works it cites.
Contrastive Multi-View Representation Learning on Graphs. In ICML . 4116–4126
Kaveh Hassani and Amir Hosein Khasahmadi. 2020 · 2020
Later among the works it cites.
Data-Efficient Image Recognition with Contrastive Predictive Coding. In ICML . 4182–4192
Olivier J. Hénaff, Aravind Srinivas, Jeffrey De Fauw, Ali Razavi, Carl Doersch, S. M. Ali Eslami, and Aäron van den Oord. 2020 · 2020
Later among the works it cites.
Hard Negative Examples are Hard, but Useful. In ECCV . 126–142
Hong Xuan, Abby Stylianou, Xiaotong Liu, and Robert Pless. 2020 · 2020
Later among the works it cites.
Graph Contrastive Learning with Augmentations. In NeurIPS
Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, and Yang Shen. 2020 · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, and Armand Joulin. 2020 · 2020
Cited alongside, same era.
A Simple Framework for Contrastive Learning of Visual Representations. In ICML . 1597–1607
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey E. Hinton. 2020 · 2020
Cited alongside, same era.
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding. In WWW . 2331–2341
Xinyu Fu, Jiani Zhang, Ziqiao Meng, and Irwin King. 2020 · 2020
Cited alongside, same era.
Contrastive Representation Distillation. In ICLR
Yonglong Tian, Dilip Krishnan, and Phillip Isola. 2020a
Cited in the paper.
What Makes for Good Views for Contrastive Learning. In NeurIPS
Yonglong Tian, Chen Sun, Ben Poole, Dilip Krishnan, Cordelia Schmid, and Phillip Isola. 2020b
Cited in the paper.
Deep Graph Contrastive Representation Learning. In GRL+@ICML
Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, and Liang Wang. 2020 · 2020
Later among the works it cites.
Heterogeneous Graph Attention Network. In WWW . 2022–2032
Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Yanfang Ye, Peng Cui, and Philip S. Yu. 2019 · 2032
Closest in time.
Graph Contrastive Learning with Adaptive Augmentation. In WWW . 2069–2080
Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, and Liang Wang. 2021 · 2080
Closest in time.